ipynb-datascience nbajpai-code · COMPLETED
python DS notebooks
github.com/nbajpai-code/ipynb-datascience · ★ 0 · Forks 0 · Size 43.6 MB
SUMMARY
Technologies 9
Scored 9
Observed 9
Practices 6
Evidence 9
Skips 0
COVERAGE
Analyzed 261 files · 1 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
5 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
57 files · PRODUCTION
NumPy LIBRARY Depth 85
29 files · PRODUCTION
RabbitMQ MESSAGE_BROKER Depth 88
5 files · CONFIGURATION
Redis CACHE Depth 65
1 files · CONFIGURATION
TypeScript LANGUAGE Depth 78
5 files · PRODUCTION
pandas LIBRARY Depth 70
3 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-12
Last commit 2025-11-12
Active months 1
Commits 1